Challenge

Fork of Scatter Plot Simple

This example visualizes the Iris Dataset as a scatter plot, mapping sepal length to the x-axis and petal length to the y-axis, with each flower represented by a fixed-radius circle. The plot has no axes, so it focuses purely on the distribution and clustering of the three species. The visualization uses D3 v7, loading data with `csvParse`, mapping values to pixel coordinates via `scaleLinear` and `extent`, and rendering circles through `selection.selectAll` with a `join`. The chart spans the full browser window, with data fetched asynchronously on initial render.

MMartha Cash

Fork of D3 Scatter Plot

This example renders the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v6’s `csv` loader to fetch the data, `scaleLinear` with `extent` to compute scales, and `axisLeft`/`axisBottom` to draw the axes. The plot is drawn as SVG circles using `select` to append elements and a `join` operation for efficient circle creation. The visualization adapts to the full browser window, with tick labels styled at 24 pixels.

BBakunya | Kirisaki Rem

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.